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颈椎肌电图驱动的、基于图形的等长肌肉骨骼模型的验证

Validation of an EMG-driven, graphically based isometric musculoskeletal model of the cervical spine.

作者信息

Netto Kevin J, Burnett Angus F, Green Jonathon P, Rodrigues Julian P

机构信息

School of Exercise and Nutrition Sciences, Deakin University Burwood, VIC, Australia.

出版信息

J Biomech Eng. 2008 Jun;130(3):031014. doi: 10.1115/1.2913234.

Abstract

EMG-driven musculoskeletal modeling is a method in which loading on the active and passive structures of the cervical spine may be investigated. A model of the cervical spine exists; however, it has yet to be criterion validated. Furthermore, neck muscle morphometry in this model was derived from elderly cadavers, threatening model validity. Therefore, the overall aim of this study was to modify and criterion validate this preexisting graphically based musculoskeletal model of the cervical spine. Five male subjects with no neck pain participated in this study. The study consisted of three parts. First, subject-specific neck muscle morphometry data were derived by using magnetic resonance imaging. Second, EMG drive for the model was generated from both surface (Drive 1: N=5) and surface and deep muscles (Drive 2: N=3). Finally, to criterion validate the modified model, net moments predicted by the model were compared against net moments measured by an isokinetic dynamometer in both maximal and submaximal isometric contractions with the head in the neutral posture, 20 deg of flexion, and 35 deg of extension. Neck muscle physiological cross sectional area values were greater in this study when compared to previously reported data. Predictions of neck torque by the model were better in flexion (18.2% coefficient of variation (CV)) when compared to extension (28.5% CV) and using indwelling EMG did not enhance model predictions. There were, however, large variations in predictions when all the contractions were compared. It is our belief that further work needs to be done to improve the validity of the modified EMG-driven neck model examined in this study. A number of factors could potentially improve the model with the most promising probably being optimizing various modeling parameters by using methods established by previous researchers investigating other joints of the body.

摘要

肌电图驱动的肌肉骨骼建模是一种可用于研究颈椎主动和被动结构负荷的方法。目前存在一个颈椎模型;然而,它尚未经过标准验证。此外,该模型中的颈部肌肉形态测量数据源自老年尸体,这对模型的有效性构成了威胁。因此,本研究的总体目标是修改并标准验证这个已有的基于图形的颈椎肌肉骨骼模型。五名无颈部疼痛的男性受试者参与了本研究。该研究包括三个部分。首先,通过磁共振成像获取受试者特定的颈部肌肉形态测量数据。其次,模型的肌电图驱动分别来自表面肌肉(驱动1:N = 5)以及表面和深层肌肉(驱动2:N = 3)。最后,为了标准验证修改后的模型,将模型预测的净力矩与等速测力计在头部处于中立姿势、20度屈曲和35度伸展时的最大和次最大等长收缩中测量的净力矩进行比较。与先前报告的数据相比,本研究中的颈部肌肉生理横截面积值更大。与伸展(变异系数(CV)为28.5%)相比,模型在屈曲时对颈部扭矩的预测更好(CV为18.2%),并且使用植入式肌电图并未增强模型预测。然而,当比较所有收缩情况时,预测存在很大差异。我们认为需要进一步开展工作以提高本研究中所检验的修改后的肌电图驱动颈部模型的有效性。许多因素可能会改进该模型,其中最有前景的可能是通过使用先前研究身体其他关节的研究人员所建立的方法来优化各种建模参数。

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